{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# 部署 Single Shot Multibox Detector(SSD) 模型\n",
        "\n",
        "**原作者**：[Yao Wang](https://github.com/kevinthesun)，[Leyuan Wang](https://github.com/Laurawly)\n",
        "\n",
        "本文是使用 TVM 部署 SSD 模型的介绍性教程。使用 GluonCV 预训练 SSD 模型，并将其转换为 Relay IR。"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [],
      "source": [
        "import set_env"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "collapsed": false
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/gluoncv/__init__.py:40: UserWarning: Both `mxnet==1.9.1` and `torch==1.8.2+cu111` are installed. You might encounter increased GPU memory footprint if both framework are used at the same time.\n",
            "  warnings.warn(f'Both `mxnet=={mx.__version__}` and `torch=={torch.__version__}` are installed. '\n"
          ]
        }
      ],
      "source": [
        "import tvm\n",
        "from tvm import te\n",
        "\n",
        "from matplotlib import pyplot as plt\n",
        "from tvm import relay\n",
        "from tvm.contrib import graph_executor\n",
        "from tvm.contrib.download import download_testdata\n",
        "from gluoncv import model_zoo, data, utils"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## 初始和设置参数\n",
        "\n",
        "```{note}\n",
        ":class: alert alert-info\n",
        "\n",
        "现在支持在 CPU 和 GPU 上编译 SSD。\n",
        "\n",
        "为了在 CPU 上获得最佳的推理性能，根据你的设备改变目标参数，按照 {ref}`tune_relay_x86` 来调优 x86 CPU，按照 {ref}`tune_relay_arm` 来调优 ARM CPU。\n",
        "\n",
        "为了在 Intel graphics 上获得最佳的推理性能，将目标参数改为 `opencl -device=intel_graphics`。但是当在 Mac 上使用 Intel graphics 时，target 需要设置为 `opencl`，只是因为 Mac 上不支持 Intel subgroup 扩展。\n",
        "\n",
        "为了在基于 ``cuda`` 的 GPU 上获得最佳的推理性能，将目标参数改为 ``cuda``；对于基于 ``opencl`` 的 GPU，根据你的设备更改目标参数为 ``opencl``。\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "supported_model = [\n",
        "    \"ssd_512_resnet50_v1_voc\",\n",
        "    \"ssd_512_resnet50_v1_coco\",\n",
        "    \"ssd_512_resnet101_v2_voc\",\n",
        "    \"ssd_512_mobilenet1.0_voc\",\n",
        "    \"ssd_512_mobilenet1.0_coco\",\n",
        "    \"ssd_300_vgg16_atrous_voc\",\n",
        "    \"ssd_512_vgg16_atrous_coco\",\n",
        "]\n",
        "\n",
        "model_name = supported_model[0]\n",
        "dshape = (1, 3, 512, 512)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "下载并预处理演示图像。"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "im_fname = download_testdata(\n",
        "    \"https://github.com/dmlc/web-data/blob/main/\" + \"gluoncv/detection/street_small.jpg?raw=true\",\n",
        "    \"street_small.jpg\",\n",
        "    module=\"data\",\n",
        ")\n",
        "x, img = data.transforms.presets.ssd.load_test(im_fname, short=512)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "为 CPU 转换和编译模型。"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "collapsed": false
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/mxnet/gluon/block.py:1784: UserWarning: Cannot decide type for the following arguments. Consider providing them as input:\n",
            "\tdata: None\n",
            "  input_sym_arg_type = in_param.infer_type()[0]\n"
          ]
        }
      ],
      "source": [
        "block = model_zoo.get_model(model_name, pretrained=True)\n",
        "\n",
        "\n",
        "def build(target):\n",
        "    mod, params = relay.frontend.from_mxnet(block, {\"data\": dshape})\n",
        "    with tvm.transform.PassContext(opt_level=3):\n",
        "        lib = relay.build(mod, target, params=params)\n",
        "    return lib"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n",
        "\n",
        "```{admonition} 创建 TVM 运行时并进行推理\n",
        ":class: alert alert-info\n",
        "\n",
        "如果你在 cmake 期间设定 `-DUSE_THRUST=ON` 启用了 thrust，则使用 ``target = \"cuda -libs\"`` 来启用基于 thrust 的排序。\n",
        "```"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "collapsed": false
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/media/pc/data/4tb/lxw/books/tvm/python/tvm/driver/build_module.py:263: UserWarning: target_host parameter is going to be deprecated. Please pass in tvm.target.Target(target, host=target_host) instead.\n",
            "  warnings.warn(\n",
            "One or more operators have not been tuned. Please tune your model for better performance. Use DEBUG logging level to see more details.\n",
            "[16:03:50] /media/pc/data/4tb/lxw/books/tvm/src/te/schedule/bound.cc:119: not in feed graph consumer = hybrid(hybrid_nms, 0xee3a750)\n",
            "[16:05:18] /media/pc/data/4tb/lxw/books/tvm/src/te/schedule/bound.cc:119: not in feed graph consumer = extern(nms, 0x327eb7c0)\n",
            "[16:05:18] /media/pc/data/4tb/lxw/books/tvm/src/te/schedule/bound.cc:119: not in feed graph consumer = extern(nms, 0x327eb7c0)\n",
            "[16:05:18] /media/pc/data/4tb/lxw/books/tvm/src/te/schedule/bound.cc:119: not in feed graph consumer = extern(nms, 0x327eb7c0)\n",
            "[16:05:18] /media/pc/data/4tb/lxw/books/tvm/src/te/schedule/bound.cc:119: not in feed graph consumer = extern(argsort_gpu, 0x328b71e0)\n",
            "[16:05:18] /media/pc/data/4tb/lxw/books/tvm/src/te/schedule/bound.cc:119: not in feed graph consumer = extern(argsort_gpu, 0x328b71e0)\n",
            "[16:05:18] /media/pc/data/4tb/lxw/books/tvm/src/te/schedule/bound.cc:119: not in feed graph consumer = extern(argsort_gpu, 0x328b71e0)\n"
          ]
        }
      ],
      "source": [
        "def run(lib, dev):\n",
        "    # Build TVM runtime\n",
        "    m = graph_executor.GraphModule(lib[\"default\"](dev))\n",
        "    tvm_input = tvm.nd.array(x.asnumpy(), device=dev)\n",
        "    m.set_input(\"data\", tvm_input)\n",
        "    # execute\n",
        "    m.run()\n",
        "    # get outputs\n",
        "    class_IDs, scores, bounding_boxs = m.get_output(0), m.get_output(1), m.get_output(2)\n",
        "    return class_IDs, scores, bounding_boxs\n",
        "\n",
        "\n",
        "for target in [\"llvm\", \"cuda\"]:\n",
        "    dev = tvm.device(target, 0)\n",
        "    if dev.exist:\n",
        "        lib = build(target)\n",
        "        class_IDs, scores, bounding_boxs = run(lib, dev)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "显示结果："
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "collapsed": false
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "ax = utils.viz.plot_bbox(\n",
        "    img,\n",
        "    bounding_boxs.numpy()[0],\n",
        "    scores.numpy()[0],\n",
        "    class_IDs.numpy()[0],\n",
        "    class_names=block.classes,\n",
        ")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "--------------------------------------------------------------------------------\n",
            "        Layer (type)                                Output Shape         Param #\n",
            "================================================================================\n",
            "               Input                            (1, 3, 512, 512)               0\n",
            "   FeatureExpander-1  (1, 1024, 32, 32), (1, 2048, 16, 16), (1, 512, 8, 8), (1, 512, 4, 4), (1, 256, 2, 2), (1, 256, 1, 1)        30997888\n",
            "            Conv2D-2                             (1, 84, 32, 32)          774228\n",
            "     ConvPredictor-3                             (1, 84, 32, 32)               0\n",
            "            Conv2D-4                            (1, 126, 16, 16)         2322558\n",
            "     ConvPredictor-5                            (1, 126, 16, 16)               0\n",
            "            Conv2D-6                              (1, 126, 8, 8)          580734\n",
            "     ConvPredictor-7                              (1, 126, 8, 8)               0\n",
            "            Conv2D-8                              (1, 126, 4, 4)          580734\n",
            "     ConvPredictor-9                              (1, 126, 4, 4)               0\n",
            "           Conv2D-10                               (1, 84, 2, 2)          193620\n",
            "    ConvPredictor-11                               (1, 84, 2, 2)               0\n",
            "           Conv2D-12                               (1, 84, 1, 1)          193620\n",
            "    ConvPredictor-13                               (1, 84, 1, 1)               0\n",
            "           Conv2D-14                             (1, 16, 32, 32)          147472\n",
            "    ConvPredictor-15                             (1, 16, 32, 32)               0\n",
            "           Conv2D-16                             (1, 24, 16, 16)          442392\n",
            "    ConvPredictor-17                             (1, 24, 16, 16)               0\n",
            "           Conv2D-18                               (1, 24, 8, 8)          110616\n",
            "    ConvPredictor-19                               (1, 24, 8, 8)               0\n",
            "           Conv2D-20                               (1, 24, 4, 4)          110616\n",
            "    ConvPredictor-21                               (1, 24, 4, 4)               0\n",
            "           Conv2D-22                               (1, 16, 2, 2)           36880\n",
            "    ConvPredictor-23                               (1, 16, 2, 2)               0\n",
            "           Conv2D-24                               (1, 16, 1, 1)           36880\n",
            "    ConvPredictor-25                               (1, 16, 1, 1)               0\n",
            "SSDAnchorGenerator-26                                (1, 4096, 4)          262144\n",
            "SSDAnchorGenerator-27                                (1, 1536, 4)           98304\n",
            "SSDAnchorGenerator-28                                 (1, 384, 4)           24576\n",
            "SSDAnchorGenerator-29                                  (1, 96, 4)            6144\n",
            "SSDAnchorGenerator-30                                  (1, 16, 4)            4096\n",
            "SSDAnchorGenerator-31                                   (1, 4, 4)            4096\n",
            "NormalizedBoxCenterDecoder-32                                (1, 6132, 4)               0\n",
            "MultiPerClassDecoder-33                (1, 6132, 20), (1, 6132, 20)               0\n",
            "              SSD-34       (1, 100, 1), (1, 100, 1), (1, 100, 4)               0\n",
            "================================================================================\n",
            "Parameters in forward computation graph, duplicate included\n",
            "   Total params: 36927598\n",
            "   Trainable params: 36468974\n",
            "   Non-trainable params: 458624\n",
            "Shared params in forward computation graph: 0\n",
            "Unique parameters in model: 36927598\n",
            "--------------------------------------------------------------------------------\n"
          ]
        }
      ],
      "source": [
        "import mxnet as mx\n",
        "\n",
        "inp = mx.nd.array(x.asnumpy())\n",
        "block.summary(inp)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/plain": [
              "35.216901779174805"
            ]
          },
          "execution_count": 20,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "36927598/(2**20)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "interpreter": {
      "hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
    },
    "kernelspec": {
      "display_name": "Python 3.8.10 64-bit",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.10"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}
